Just to play devils advocate... when was the last time someone benchmarked Cassandra? There's been a lot of changes and a couple releases since the last version I saw benchmarks for.
On Sun, Dec 6, 2009 at 12:34 AM, Matt Revelle <[email protected]> wrote: > Cassandra performance likely still beats HBase, but according to the > "Powered By" page on the HBase wiki it is being used to handle realtime > requests by StumbleUpon, Meetup, and Streamy ( > http://wiki.apache.org/hadoop/Hbase/PoweredBy). > > These two documents contain some performance numbers: > http://static.last.fm/johan/nosql-20090611/hbase_nosql.pdf (skip to page > 22) > http://www.slideshare.net/schubertzhang/hbase-0200-performance-evaluation > > Both Cassandra and HBase are useful tech, I just wanted to point out that > HBase performance has improved over the past year and it can handle realtime > requests. > > On Dec 5, 2009, at 11:08 PM, Tim Estes wrote: > > > Can you link/reference those? I haven't seen random read or write > performance numbers published around V0.20 Hbase that are within 5x of > Cassandra. I'm very curious about this... > > > > Sent from my iPhone > > > > On Dec 5, 2009, at 11:05 PM, "Matt Revelle" <[email protected]> wrote: > > > >> On Dec 5, 2009, at 21:45, Joe Stump <[email protected]> wrote: > >> > >>> > >>> On Dec 5, 2009, at 7:41 PM, Bill Hastings wrote: > >>> > >>>> [Is] HBase used for real timish applications and if so any ideas what > the largest deployment is. > >>> > >>> I don't know of anyone off the top of my head who's using anything > built on top of Hadoop for a real-time environment. Hadoop just wasn't built > for that. It was built, like MapReduce, for crunching absurd amounts of data > across hundreds of nodes in a "reasonable" amount of time. > >>> > >>> Just my $0.02. > >>> > >>> --Joe > >>> > >> > >> While Hadoop MapReduce isn't meant for realtime use, HBase can handle > it. > >> > >> Over last summer there were some benchmarks included in HBase/Hadoop > presentations that showed, IIRC, performance comparable to Cassandra. > >> > >
